Triple

T3151582
Position Surface form Disambiguated ID Type / Status
Subject Richard L. Simon E65887 entity
Predicate hasRelative P367 FINISHED
Object Peter Simon E331239 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peter Simon | Statement: [Richard L. Simon, hasRelative, Peter Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Simon
Context triple: [Richard L. Simon, hasRelative, Peter Simon]
  • A. Peter Simon chosen
    Peter Simon is an American comedian and television personality best known as the son of publishing executive Richard L. Simon.
  • B. Peter Ott
    Peter Ott was an Austrian general who played a significant command role in the Napoleonic Wars, notably during the Italian campaigns.
  • C. David Simas
    David Simas is an American political strategist and former Obama White House official who serves as a top executive leader at the Obama Foundation.
  • D. Henry Simons
    Henry Simons was an influential American economist and early leader of the Chicago School, known for advocating free-market principles alongside strong antitrust policies and a broad-based, progressive tax system.
  • E. Peter Honess
    Peter Honess is a British film editor best known for his work on major Hollywood films, including the acclaimed neo-noir crime drama "L.A. Confidential."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c145248190843ff3b1701074a1 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235bf4a008190ba6264103a9d67b7 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.